[Code Addition Request]: Sentiment analysis using machine learning

[Ananya-vastare]

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Guidelines

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• I have the link to my latest merged PR

Latest Merged PR Link

#311

Project Description

The Sentiment Analysis of Social Media Texts project aims to develop a machine learning model to classify sentiments expressed in social media posts (such as tweets and Facebook comments) as positive, negative, or neutral. The project involves collecting a labeled dataset, preprocessing the text by removing noise, tokenizing, and vectorizing the data using techniques like TF-IDF or word embeddings. Multiple machine learning algorithms, including Logistic Regression, Support Vector Machines, and Neural Networks, will be trained and evaluated for their performance using metrics like accuracy and F1-score. Additionally, visualizations will be created to showcase sentiment trends over time or across different topics. The project may culminate in a web application that allows users to input text for real-time sentiment analysis, utilizing tools such as Python, Scikit-learn, Pandas, and various natural language processing libraries.

Full Name

Ananya Ravikiran Vastare

Participant Role

Contributor GSSOC -Extd

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[github-actions]

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